Evidence map›Paper›PMID 32702488›Full record

ReviewNeuroImage2020

Opportunities of connectomic neuromodulation.

Andreas Horn, Michael D Fox

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 3 pooled it
10.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

104 citing papers in PubMed, 3 syntheses or guidelines pooled it, 187 citations in OpenAlex.

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  18. A Multi-Symptom Circuit Architecture of Obsessive-Compulsive Disorder.medRxiv : the preprint server for health sciences · 2025
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  20. Review

44 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Andreas HornNeurology Department, Movement Disorders and Neuromodulation Sectio Charité - University Medicine Berlin,, Charitéplatz 1, D-10117 Berlin, Germany. Electronic address: andreas.horn@charite.de.
Michael D FoxBerenson-Allen Center for Non-invasive Brain Stimulation, Department of Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, United States; Martinos Center for Biomedical Imaging, Departments of Neurology and Radiology, Harvard Medical School and Massachusetts General Hospital, United States; Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, and Radiology, Harvard Medical School and Brigham and Women's Hospital, United States. Electronic address: foxmdphd@gmail.com.
Athinoula A. Martinos Center for Biomedical Imaging · USCharité - Universitätsmedizin Berlin · DE

Funding

Using human brain connectivity to identify the causal neuroanatomical substrate of depression symptomsR01MH113929 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI MICHAEL D FOX · 2017 to 2026
$6.9M
Repetitive TMS-induced modulation of cortical excitability in ADR01MH115949 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SHAFI, MOUHSIN · 2018 to 2022
$3.2M
Treating hyperexcitability in Alzheimer’s disease with levetiracetam to improve brain function and cognitionR01AG060987 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SHAFI, MOUHSIN · 2019 to 2023
$3.0M
NIA NIH HHS R01 AG060987NIMH NIH HHS R01 MH113929NIMH NIH HHS R01 MH115949
6 · The paper itself

Abstract

The process of altering neural activity - neuromodulation - has long been used to treat patients with brain disorders and answer scientific questions. Deep brain stimulation in particular has provided clinical benefit to over 150,000 patients. However, our understanding of how neuromodulation impacts the brain is evolving. Instead of focusing on the local impact at the stimulation site itself, we are considering the remote impact on brain regions connected to the stimulation site. Brain connectivity information derived from advanced magnetic resonance imaging data can be used to identify these connections and better understand clinical and behavioral effects of neuromodulation. In this article, we review studies combining neuromodulation and brain connectomics, highlighting opportunities where this approach may prove particularly valuable. We focus on deep brain stimulation, but show that the same principles can be applied to other forms of neuromodulation, such as transcranial magnetic stimulation and MRI-guided focused ultrasound. We outline future perspectives and provide testable hypotheses for future work.

Indexed as

ConnectomeDeep Brain StimulationMagnetic Resonance ImagingTranscranial Magnetic StimulationUltrasonic TherapyBrain DiseasesHumansBrain networksBrain stimulationConnectomicsDeep brain stimulationDiffusion MRIdMRIfMRIFunctional MRINetwork fingerprintingNeuromodulationTractography

Identifiers

PMID32702488
PMCPMC7847552
OpenAlexW3042297668

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.